Article Glycol lignin/MAH-g-PP blends and composites with exceptional mechanical properties for automotive applications

Jonathon Tanks SAMURAI ORCID (National Institute for Materials ScienceROR) ; Kenji Tamura SAMURAI ORCID (National Institute for Materials ScienceROR) ; Kimiyoshi Naito SAMURAI ORCID (National Institute for Materials ScienceROR) ; Thi Thi Nge ; Tatsuhiko Yamada

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Citation
Jonathon Tanks, Kenji Tamura, Kimiyoshi Naito, Thi Thi Nge, Tatsuhiko Yamada. Glycol lignin/MAH-g-PP blends and composites with exceptional mechanical properties for automotive applications. Composites Science and Technology. 2023, 238 (), 110030.
SAMURAI

Description:

(abstract)

Lightweight plastics and their composites are being increasingly used in automobiles to reduce emissions and costs, but the market demand for fossil fuel-based plastics such as polypropylene (PP) creates several environmental problems such as pollution and waste. Although replacing PP with biomass such as lignin is not a new endeavor, the vast majority of past studies reported reduced mechanical properties as lignin content increases, which limits its application in industry. Herein, blends of maleic anhydride-grafted PP (MAH-g-PP) and softwood-derived glycol lignin (GL) are successfully fabricated via a melt-mixing approach, which boast exceptional mechanical properties and thermal stability. Synergistic performance enhancement is observed when combined with carbon fiber reinforcement, which is elucidated by nanoindentation of the fiber/polymer interface. This work contributes to the development of sustainable automotive structures by efficiently combining biomass and traditional materials.

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Keyword: Automotive composites, Glycol lignin, Polypropylene, Mechanical properties, Biomass

Date published: 2023-04-09

Publisher: Elsevier BV

Journal:

  • Composites Science and Technology (ISSN: 02663538) vol. 238 p. 110030- 110030

Funding:

  • 農林水産省 農林水産研究推進事業委託プロジェクト研究 (脱炭素社会の実現を推進する高機能リグニン材料の開発)

Manuscript type: Author's version (Accepted manuscript)

MDR DOI:

First published URL: https://doi.org/10.1016/j.compscitech.2023.110030

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Updated at: 2024-01-05 22:12:51 +0900

Published on MDR: 2025-04-16 17:00:12 +0900

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